Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-24T14:05:51.215Z Has data issue: false hasContentIssue false
  • English
  • Français

Social-motor experience and perception-action learning bring efficiency to machines

Published online by Cambridge University Press:  10 November 2017

Ludovic Marin  and
Ghiles Mostafaoui
Ludovic Marin
Affiliation:
EuroMov Laboratory, University of Montpellier, Montpellier, France. [email protected]://euromov.eu/team/ludovic-marin/
Ghiles Mostafaoui
Affiliation:
ETIS Laboratory, Cergy-Pontoise University, 95302 Cergy Pontoise, France. [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Lake et al. proposed a way to build machines that learn as fast as people do. This can be possible only if machines follow the human processes: the perception-action loop. People perceive and act to understand new objects or to promote specific behavior to their partners. In return, the object/person provides information that induces another reaction, and so on.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e273
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ansermin, E., Mostafaoui, G., Beausse, N. & Gaussier, P. (2016). Learning to synchronously imitate gestures using entrainment effect. In: From Animals to Animats 14: Proceedings of the 14th International Conference on Simulation of Adaptive Behavior (SAB 2016), Aberystwyth, United Kingdom, August 23–26, 2016, ed. Tuci, E, Giagkos, A, Wilson, M, Hallam, J, pp. 219–31. Springer.CrossRefGoogle Scholar
Braud, R., Mostafaoui, G., Karaouzene, A. & Gaussier, P. (2014). Simulating the emergence of early physical and social interactions: A developmental route through low level visuomotor learning. In: From Animal to Animats 13: Proceedings of the 13th International Conference on Simulation of Adaptive Behavior, Castellon, Spain, July 2014, ed. del Pobil, A. P., Chinalleto, E., Martinez-Martin, E., Hallam, J., Cervera, E. & Morales, A., pp. 154–65. Springer.CrossRefGoogle Scholar
Breazeal, C. & Scassellati, B. (2002). Robots that imitate humans. Trends in Cognitive Sciences 6(11):481–87.CrossRefGoogle ScholarPubMed
Gaussier, P., Moga, S., Quoy, M. & Banquet, J. P. (1998). From perception-action loops to imitation processes: A bottom-up approach of learning by imitation. Applied Artificial Intelligence 12(7–8):701–27.CrossRefGoogle Scholar
Hasnain, S.K., Mostafaoui, G. & Gaussier, P. (2012). A synchrony-based perspective for partner selection and attentional mechanism in human-robot interaction. Paladyn, Journal of Behavioral Robotics 3(3):156–71.CrossRefGoogle Scholar
Hasnain, S. K., Mostafaoui, G., Salesse, R., Marin, L. & Gaussier, P. (2013) Intuitive human robot interaction based on unintentional synchrony: A psycho-experimental study. In: Proceedings of the IEEE 3rd Joint Conference on Development and Learning and on Epigenetic Robotics, Osaka, Japan, August 2013, pp. 1–7. Hal Archives-ouvertes.CrossRefGoogle Scholar
Lopes, M. & Santos-Victor, J. (2007). A developmental roadmap for learning by imitation in robots. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 37(2):308–21.CrossRefGoogle ScholarPubMed
Marin, L., Issartel, J. & Chaminade, T. (2009). Interpersonal motor coordination: From human-human to human-robot interactions. Interaction Studies 10(3):479–504.CrossRefGoogle Scholar
Meltzoff, A. N. (2007). ‘Like me': A foundation for social cognition. Developmental Science 10(1):126–34.CrossRefGoogle Scholar
Nagai, Y., Kawai, Y. & Asada, M. (2011). Emergence of mirror neuron system: Immature vision leads to self-other correspondence. Proceedings of the 1st Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Vol. 2, pp. 1–6. IEEE.CrossRefGoogle Scholar
O'Regan, J.K. (2011). Why red doesn't sound like a bell: Understanding the feel of consciousness. Oxford University Press.Google Scholar
Schmidt, R.C. & Richardson, M.J. (2008). Dynamics of interpersonal coordination. In: Coordination: Neural, behavioural and social dynamics, ed. Fuchs, A. & Jirsa, V., pp. 281–307. Springer-Verlag.CrossRefGoogle Scholar
Varlet, M., Marin, L., Capdevielle, D., Del-Monte, J., Schmidt, R.C., Salesse, R.N., Boulenger, J.-P., Bardy, B. & Raffard, S. (2014). Difficulty leading interpersonal coordination: Towards an embodied signature of social anxiety disorder. Frontiers in Behavioral Neuroscience 8:1–9.CrossRefGoogle ScholarPubMed
Viviani, P. & Stucchi, N. (1992). Biological movements look uniform: evidence of motor-perceptual interactions. Journal of Experimental Psychology: Human, Perception & Performance 18(3):603–23.Google ScholarPubMed